Revolutionizing drug discovery and development
We provide the most efficient and promising way of drug discovery based on 20+ years of systems biology research.
OUR BUSINESS
VISION
We provide interpretable predictions for drug discovery
AI-enhanced systems biology enables interpretable predictions for the right decisions for successful drug development. The more interpretable information ensures the less risk.
Expand knowledge
We collect data constantly and link them in meaningful ways. Networks connected in a meaningful way have more potential than the original data. In particular, we have developed a simulation technique that reflects the causal nature of biological networks, which is useful for understanding and avoiding the risk of drug discovery.
Right decision
The process of developing a new drug consists of a number of decision-making processes. NetTargets' interpretable prediction helps us make better decisions. Computer-produced interpretable predictions have their correctness to be assessed by humans, giving them the opportunity to reasonably choose their strategy, helping human-to-human and human-to-machine cooperation.
Successful drug discovery
Only less than 10% of clinical trials succeed. 40% of them fail because they could not find a relationship between drug and disease, and 30% fail by testing the wrong patient group. Although failure is unavoidable, NetTarget's mechanism-based treatment strategy analysis technology can significantly reduce the risk of failure of drugs entering clinical trials.
